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Knowledge Graphs

A knowledge graph is a structured representation of information that organizes data into nodes (entities) and edges (relationships) to show how different pieces of knowledge are interconnected. It enables enhanced data integration, search, and inference by modeling the relationships between concepts and entities in a graph format.

Papers

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Showing 2326–2350 of 2974 papers

TitleStatusHype
ParaQA: A Question Answering Dataset with Paraphrase Responses for Single-Turn ConversationCode0
Context Transformer with Stacked Pointer Networks for Conversational Question Answering over Knowledge GraphsCode0
FinMatcher at FinSim-2: Hypernym Detection in the Financial Services Domain using Knowledge Graphs—0
Technical Report on Data Integration and Preparation—0
BERT-based knowledge extraction method of unstructured domain text—0
Secure Evaluation of Knowledge Graph Merging GainCode0
LightCAKE: A Lightweight Framework for Context-Aware Knowledge Graph Embedding—0
Approximate Knowledge Graph Query Answering: From Ranking to Binary Classification—0
Knowledge Hypergraph Embedding Meets Relational AlgebraCode0
Learning Visual Models using a Knowledge Graph as a Trainer—0
Meta-Path-Free Representation Learning on Heterogeneous Networks—0
Analysing the Requirements for an Open Research Knowledge Graph: Use Cases, Quality Requirements and Construction Strategies—0
A Metamodel and Framework for Artificial General Intelligence From Theory to Practice—0
Information Extraction From Co-Occurring Similar Entities—0
Malware Knowledge Graph Generation—0
TINKER: A framework for Open source Cyberthreat Intelligence—0
Improving Scene Graph Classification by Exploiting Knowledge from Texts—0
Generating Fake Cyber Threat Intelligence Using Transformer-Based Models—0
Exploring the Limits of Few-Shot Link Prediction in Knowledge Graphs—0
Materializing Knowledge Bases via Trigger Graphs—0
Typing Errors in Factual Knowledge Graphs: Severity and Possible Ways OutCode0
Learning Graph Representations—0
Commonsense Knowledge Mining from Term DefinitionsCode0
Automatic Expansion of Domain-Specific Affective Models for Web Intelligence ApplicationsCode0
Combining pre-trained language models and structured knowledge—0
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All datasetsMARS (Multimodal Analogical Reasoning dataSet)JerichoWorldWikiKG90M-LSCFB15k

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MarT_MKGformerMRR0.34—Unverified
2MKGformerMRR0.32—Unverified
3MarT_FLAVAMRR0.29—Unverified
4ViLBERTMRR0.29—Unverified
5IKRL (ANALOGY)MRR0.28—Unverified
6IKRLMRR0.27—Unverified
7ViLTMRR0.26—Unverified
8TransAEMRR0.22—Unverified
#ModelMetricClaimedVerifiedStatus
1WorldformerSet accuracy39.15—Unverified
2Q*BERTSet accuracy32.78—Unverified
3GATA-WSet accuracy24.06—Unverified
4WorldformerSet accuracy23.22—Unverified
5Seq2SeqSet accuracy14.29—Unverified
6RulesSet accuracy4.7—Unverified
#ModelMetricClaimedVerifiedStatus
1TransE-ConcatTest MRR85.48—Unverified
2ComplEx-ConcatTest MRR0.86—Unverified
3ComplEx-RoBERTaTest MRR0.72—Unverified
4TransE-RoBERTaTest MRR0.63—Unverified
#ModelMetricClaimedVerifiedStatus
1COMPLEXMRR0.59—Unverified